Discover Awesome MCP Servers
Extend your agent with 84,517 capabilities via MCP servers.
- All84,517
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
- Data & App Analysis181
- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
- Version Control93
- Finance91
- Knowledge & Memory90
- Monitoring79
- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
- Cloud Storage51
- Entertainment & Media43
- Virtualization42
- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
- Speech Processing18
- Customer Data Platforms16
- Travel & Transportation14
- Education & Learning Tools13
- Home Automation & IoT13
- Web Search Integration12
- Health & Wellness10
- Customer Support10
- Marketing9
- Games & Gamification8
- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
mcp-taskwarrior-ai
An AI-native Taskwarrior bridge that provides natural language task management for Claude Code and other AI systems, integrating with existing Taskwarrior infrastructure.
MCP Docs Server
Aggregates documentation from multiple sources (llms.txt format or web scraping) and provides semantic search capabilities using vector embeddings and hybrid search for each documentation source.
automatised-pipeline
A Rust MCP server that indexes codebases into a property graph and provides tools for code intelligence, such as searching, context, impact analysis, and change detection.
@webability/mcp
An MCP server for web accessibility testing that enables scanning, auditing, and fixing WCAG, ADA, and other compliance issues directly from your IDE, with free local scans, AI-generated framework-aware fixes, and verification capabilities.
mcp-instagram-dm
MCP server for Instagram Direct Messages. Read inbox, send messages, search conversations, react to messages, manage pending requests, and more. 15 tools with cookie-based authentication.
Cloudflare Playwright MCP
Enables AI assistants to perform web automation tasks such as navigation, typing, clicking, and taking screenshots using Playwright on Cloudflare Workers. This server allows LLMs to interact with and control a browser across platforms like Claude Desktop and GitHub Copilot.
vibops-mcp
VibOps MCP is the control plane between your AI agents and your GPU infrastructure. 74 tools covering: GPU fleet management (deploy, scale, monitor across NVIDIA, AMD, Intel, AWS, Google, Groq), Agent Infrastructure Control Plane (per-agent GPU cost, budget enforcement, model policies, dependency graph), governance (AI Act, SOC 2, immutable HMAC audit chain), and GPU FinOps (chargeback, waste..)..
kra-mcp
Enables Kenya tax compliance through MCP tools for PAYE, VAT, PIN registration, and tax incentives.
Docker MCP Server
Enables AI assistants to interact with Docker containers through safe, permission-controlled access to inspect, manage, and diagnose containers, images, and compose services with built-in timeouts and AI-powered analysis.
mcp-emtrafesa
Enables AI assistants to access Emtrafesa bus transportation services in Peru, including querying terminals, schedules, tickets, and FAQs.
AutoSOC Agent
An automated security operations center MCP server that uses LLMs and network analysis tools like Tshark to detect threats in traffic data. It enables users to automatically ingest PCAP files, query specific packets, and generate intelligent security analysis reports.
HomeBox Edge
Serverless HomeBox-compatible family asset ledger with MCP tools for creating, searching, updating, archiving assets, and importing/exporting CSV/TSV.
jsx-notation
Compresses React/Next.js files, HTML, and SVG into a compact JSXN notation optimized for AI assistants, reducing token consumption by ~40%. Provides an MCP server with tools to read, encode, and decode JSXN.
Model Context Protocol servers
docs-cache-mcp
A local MCP server that fetches official library documentation (llms.txt-first), caches it to disk, and serves relevant sections to coding agents offline with deterministic retrieval.
question-market
MCP server for question.market prediction markets on Algorand. Enables market browsing, wallet onboarding, and trading through natural language.
XRootD MCP Server
An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.
MacroMCP
Remote MCP server for natural-language calorie/macro and weight tracking, designed to connect to Claude.ai as a custom connector.
playcaller
An MCP server that enables AI agents to play-test Unity games by capturing screenshots and simulating inputs like taps, drags, and key presses, acting as a Playwright for Unity.
GraphSense MCP Server
Enables natural language queries about JavaScript/TypeScript codebases using graph and vector search. Allows finding functions by semantic description, callers, callees, and function details.
vision-mcp
Vision MCP enables text-only agents to understand images through any OpenAI-compatible vision model. It supports local images, URLs, screenshots, documents, charts, and code errors with tools like analyze_image and understand_image.
quantum-demos-mcp
MCP server for authoring Quantum customer demos from Claude Code; enables listing, viewing, and updating demos with a guide and prompts.
Jira Data Center MCP Server
Enables AI assistants to deeply introspect Jira Data Center configurations — including workflows, schemes, automation, and Assets — through 76 read-only tools, without any modification capability.
Google Workspace MCP Server
Enables AI agents to send emails and append content to Google Docs using Gmail and Google Docs APIs.
DALL-E MCP Server
Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.
Brosh Browser Screenshot
Captures comprehensive webpage screenshots with intelligent scrolling, text extraction, and HTML analysis, enabling AI tools to visually inspect and understand web content through the Model Context Protocol.
AI-Scholarly-Mode
Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.
logseq-api-mcp
AI assistant integration with Logseq knowledge graph: 21 tools to read, write, query, and search notes, enabling seamless interaction with your notes.
directa-mcp
MCP server that connects Claude to Directa's Darwin trading API, enabling local account management, portfolio views, and order operations through natural language.
flutterclimcp
承知いたしました。Flutter CLI MCP (Model Context Protocol) Server を使用して Flutter プロジェクトを作成する楽しいサンプルプロジェクトのアイデアをいくつかご紹介します。 **アイデア例:** * **お絵かきアプリ:** * ユーザーが画面に自由に線を描けるシンプルなアプリです。 * 線の色、太さ、種類などを変更できる機能を追加します。 * 描いた絵を保存したり、共有したりする機能も追加できます。 * MCP Server を使用して、描画データをリアルタイムで他のユーザーと共有する機能を追加すると、共同お絵かきアプリとして楽しめます。 * **簡単なチャットアプリ:** * テキストメッセージを送受信できるシンプルなチャットアプリです。 * ユーザー名を設定したり、アバター画像を設定したりする機能を追加します。 * MCP Server を使用して、メッセージをリアルタイムで送受信する機能を追加します。 * グループチャット機能や、画像・動画の送信機能を追加すると、より高度なチャットアプリになります。 * **ToDo リストアプリ:** * タスクを追加、編集、削除できるシンプルな ToDo リストアプリです。 * タスクの優先度を設定したり、期日を設定したりする機能を追加します。 * MCP Server を使用して、ToDo リストを複数のデバイス間で同期する機能を追加します。 * 他のユーザーと ToDo リストを共有して、共同でタスク管理を行う機能を追加すると、チームでの利用にも適したアプリになります。 * **クイズアプリ:** * 簡単なクイズに答えるアプリです。 * 問題と選択肢を JSON ファイルなどで定義し、それを読み込んで表示します。 * 正解・不正解の判定を行い、結果を表示します。 * MCP Server を使用して、他のユーザーと対戦できる機能を追加します。 * ランキング機能を追加すると、競争意識を高めることができます。 **プロジェクト作成のヒント:** * **Flutter CLI を使用してプロジェクトを作成:** `flutter create <プロジェクト名>` * **MCP Server のセットアップ:** MCP Server のドキュメントを参照して、セットアップを行います。 * **UI の構築:** Flutter のウィジェットを使用して、UI を構築します。 * **ロジックの実装:** Dart 言語を使用して、アプリのロジックを実装します。 * **MCP Server との連携:** MCP Server の API を使用して、データの送受信を行います。 **その他:** * これらのアイデアはあくまで例です。ご自身の興味やスキルに合わせて、自由にアレンジしてください。 * Flutter や MCP Server に関するドキュメントやチュートリアルを参考にしながら、開発を進めてください。 * GitHub などのバージョン管理システムを利用して、コードを管理することをおすすめします。 これらの情報が、あなたの Flutter プロジェクト作成の助けになれば幸いです。頑張ってください!